Senior Data Scientist, Lyra Health

• 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics and have partnered with engineering and product teams in prior roles
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting
• Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate
• Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views
• Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences)
• Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights

Desirable

• Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients
• Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data
• Develop comprehensive analyses based on our datasets to extract actionable insights and translate them into recommendations on business strategy and product roadmaps
• Complete time-sensitive ad hoc data requests for internal and external stakeholders
• Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of clinical care options